Python提取视频帧图片实例代码

为了从视频中提取每一帧图片，编写python脚本实现该功能

video_path为指定的视频路径

interval为指定分割视频是是否跳帧，默认不跳帧，即全部分割

width, height 为指定对分割帧图片调整大小，默认不调整

该脚本自动对帧图片编号，设置为7位编码，最多可分割9999999帧图片，即92小时的30FPS视频

# !/usr/bin/env python
# -*- coding: utf-8 -*-
# ============================================================
# @Date    : 2021/12/08 14:40:31
# @Author  : LiShan
# @Email   : lishan@st.xatu.edwww.cppcns.comu.com
# @File    : extract.py
# @IDE     : PyCharm
# @Func    : Extract video image
# ============================================================
import os.path
import time
import cv2
http://www.cppcns.com 
video_path = "./assets/intersection.mp4"
idx1 = video_path.rfind('/')
idx2 = video_path.rfind('.')
save_path = "./assets/" + video_path[idx1+1:idx2]
if os.path.exists(save_path):
    pass
else:
    os.mkdir(save_path)
 
cap = cv2.VideoCapture(video_path)
fps = int(cap.get(cv2.CAP_PROP_FPS))
print('FPS:{:.2f}'.format(fps))
rate = cap.get(5)
frame_num = cap.get(7)
duration = frame_num/rate
print('video total time:{:.2f}s'.format(duration))
 
# width, height = 1920, 1080
cnt = 0
num = 0
# interval = int(fps) * 4
interval = 1
process_num = frame编程客栈_num // inhttp://www.cppcns.comterval
print('process frame:{:.0f}'.format(process_num))
 
t0 = time.time()
while cap.isOpened():
    ret, frame = cap.read()
    if ret:
        cnt += 1
        if cnt % interval == 0:
            num += 1
            # frame = cv.resize(frame, (width, height))
            cv2.imwrite(save_path + "/%07d.jpg" % num, frame)
            remain_frame = process_num - num
            t1 = time.time() - t0
           编程客栈 t0 = time.time()
            print("Processing %07d.jpg, remain frame: %d, remain time: %.2fs" % (num, remain_frame, remain_frame * t1))
    else:
        break
    if cv2.waitKey(1) & 0xff == 27:
        break
 
cap.release()
cv2.destroyAllWindows()
print("done")

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